Correlation Between Gudang Garam and Bank Maybank
Can any of the company-specific risk be diversified away by investing in both Gudang Garam and Bank Maybank at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Gudang Garam and Bank Maybank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gudang Garam Tbk and Bank Maybank Indonesia, you can compare the effects of market volatilities on Gudang Garam and Bank Maybank and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Gudang Garam with a short position of Bank Maybank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gudang Garam and Bank Maybank.
Diversification Opportunities for Gudang Garam and Bank Maybank
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Gudang and Bank is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Gudang Garam Tbk and Bank Maybank Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Maybank Indonesia and Gudang Garam is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Gudang Garam Tbk are associated (or correlated) with Bank Maybank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Maybank Indonesia has no effect on the direction of Gudang Garam i.e., Gudang Garam and Bank Maybank go up and down completely randomly.
Pair Corralation between Gudang Garam and Bank Maybank
Assuming the 90 days trading horizon Gudang Garam Tbk is expected to under-perform the Bank Maybank. In addition to that, Gudang Garam is 1.9 times more volatile than Bank Maybank Indonesia. It trades about -0.2 of its total potential returns per unit of risk. Bank Maybank Indonesia is currently generating about -0.13 per unit of volatility. If you would invest 20,800 in Bank Maybank Indonesia on December 30, 2024 and sell it today you would lose (1,800) from holding Bank Maybank Indonesia or give up 8.65% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Gudang Garam Tbk vs. Bank Maybank Indonesia
Performance |
Timeline |
Gudang Garam Tbk |
Bank Maybank Indonesia |
Gudang Garam and Bank Maybank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gudang Garam and Bank Maybank
The main advantage of trading using opposite Gudang Garam and Bank Maybank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gudang Garam position performs unexpectedly, Bank Maybank can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Bank Maybank will offset losses from the drop in Bank Maybank's long position.Gudang Garam vs. Hanjaya Mandala Sampoerna | Gudang Garam vs. Unilever Indonesia Tbk | Gudang Garam vs. PT Indofood Sukses | Gudang Garam vs. United Tractors Tbk |
Bank Maybank vs. Bank Cimb Niaga | Bank Maybank vs. Bank Danamon Indonesia | Bank Maybank vs. Bank Pan Indonesia | Bank Maybank vs. Bank Permata Tbk |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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